Can I do grad studies in computational physics if my BSc is in chemistry?

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SUMMARY

Graduate studies in computational physics can be pursued by students with a Bachelor of Science in chemistry, particularly if they have relevant research experience. The discussion highlights that many PhD students in computational biophysics come from diverse backgrounds, including chemistry and engineering, due to the significant overlap between the fields. Specifically, the transition is facilitated by experience in computational chemistry, especially in areas like soft condensed matter physics and physical chemistry. Supervisors in computational physics may consider applicants with a strong foundation in developing functionals and computational techniques.

PREREQUISITES
  • Understanding of computational chemistry principles
  • Familiarity with developing functionals in computational methods
  • Knowledge of soft condensed matter physics
  • Basic understanding of physical chemistry concepts
NEXT STEPS
  • Research graduate programs in computational physics that accept students from chemistry backgrounds
  • Explore advanced topics in developing functionals for computational applications
  • Study the principles of soft condensed matter physics
  • Investigate the role of computational techniques in physical chemistry
USEFUL FOR

Students considering graduate studies in computational physics, particularly those with a background in chemistry or related fields, as well as researchers interested in the intersections of chemistry and physics.

Sterling729
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Hello everyone,

Just wondering how different the two really are. I'm interested in developing functionals and was wondering if the two are really distinguishable. On an added note, by the time I graduate, I will have had two research terms in computational chemistry. One applications, and the other developing functionals. So, may computational physics supervisors consider me as a grad student?

Cheers
 
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I don't know what "developing functionals" is (I do construct functionals to extract data from probability distributions, but I have the feeling that is not what you mean) and I don't know the "grad school" system in the US. But I can tell you that our "Computational Biophysics" group has quite a few PhD students and post-docs who did their Masters or PhD in biology, chemistry, or engineering (although to be fair I must add that part of the reason for this is the lack of adequate physics applicants). There is a large overlap region between chemistry and physics (think soft condensed matter physics and physical chemistry), so I think that a lot of computational chemistry is sufficiently close to some computational physics to make a transition quite easy. But please keep in mind that this statement is merely based on knowing a bit about physics, chemistry, and computing - I don't know the US university administrations at all.
 

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